Sam Coyle
About Sam Coyle
Sam Coyle is the Director of P&G Cloud Data Lake, Warehouse, and Mesh at Procter & Gamble, with extensive experience in data architecture and analytics.
Current Role at Procter & Gamble
Sam Coyle currently serves as the Director of P&G Cloud Data Lake, Warehouse, and Mesh at Procter & Gamble. Since 2018, he has led a team of 50 internal and external members in transforming the company's data architecture from on-premise legacy systems to a modern cloud-native approach. His work includes the implementation of microservice thinking, elastic compute, and data mesh principles. He has also pioneered 'Data as a Product' thinking and established a metadata service for cross-application communication.
Previous Roles at Procter & Gamble
Between 2006 and 2017, Sam Coyle held various positions at Procter & Gamble. He worked as the Director of Retailer Analytics DevOps - Customer Point of Sale from 2015 to 2017 and served as the Walmart Customer Team - Data & Reporting Engineering Lead from 2011 to 2014. Earlier, he was the Charmin Brand Analytics Leader from 2009 to 2011 and the US All Outlet Share Software Engineer from 2006 to 2009 in Cincinnati, Ohio.
Education and Expertise
Sam Coyle holds both a Bachelor of Science (BS) and a Master of Science (MS) in Computer Science from the University of Kentucky. He completed his undergraduate studies in 2006 and earned his master's degree in 2006. His academic background has equipped him with the technical knowledge and skills necessary for his roles in data architecture and analytics engineering.
Key Projects and Initiatives at Procter & Gamble
Throughout his tenure at Procter & Gamble, Sam Coyle has spearheaded numerous key projects. In 2018, he served as the lead architect for developing the data layer, analytic front-end layer, and master data maintenance/harmonization tools. He also implemented a hybrid data model approach for data harmonization and established multiple data delivery patterns such as RESTful APIs and direct queries. Additionally, he developed a low-code data engineering tool, automated redundant capabilities using microservice sidecars, and utilized CI/CD pipelines with Azure DevOps and Terraform.
Innovations in Data Management
Sam Coyle has explored emerging use cases for handling data in multi-cloud environments, including platforms like Azure, GCP, and AWS. His contributions include developing a metadata service for cross-application communication and implementing a cloud-native approach incorporating microservice architectures. He has automated redundant tasks such as LMA, data retention, and compliance, and championed the use of CI/CD pipelines and infrastructure as code to streamline development and deployment processes.